C++ Deep Learning with Caffe

Video Description

Build, train, and deploy your models using the speed and efficiency of Caffe and get future-ready in the world of Deep Learning

About This Video

Practical training to help you understand concepts better and relate to the concepts of Deep Learning for the real world.

Holistic approach to installing Caffe on a fresh machine and training/deploying neural networks in relation to Deep Learning concepts

Useful techniques to avoid common mistakes while using Caffe and make the best use of it in training and implementing your models

In Detail

Caffe is a popular Deep Learning library implemented in C++ and renowned for its speed and efficiency. This video course is for you if you are familiar with C++ and want to get started with Deep Learning using Caffe to train real-world models.

This course will teach you how Deep Learning functions and how the Caffe framework enhances the speed and performance of your model to make it smarter for real-world uses. You will learn practical skills about creating layers, configuring networks, training and deploying using Caffe (written in C++). You will also learn about some of the internals of Caffe. Throughout the course, you will work with practical examples to get a good training in Deep Learning.

By the end of this course, you will have the skills to build and train your own real-world Deep Learning models using Caffe.